The Rise of Physical AI
In the last couple of years, artificial intelligence mostly resided within our devices. It generated content, produced images, and responded to inquiries. However, this landscape is rapidly transforming.
A new frontier, Physical AI, is emerging — a realm where machines possess the ability to perceive, reason, and make decisions in the tangible world.
Envision robots assembling vehicles, self-driving taxis navigating the streets, and drones completing deliveries. Artificial intelligence is evolving beyond mere thought into action.
Analysts from Bank of America, under the guidance of Martyn Briggs, argue that a monumental shift is underway in the investment landscape, one that could be worth trillions.
Understanding the Shift Towards Physical AI
Unlike the initial wave of AI, which concentrated on digital content creation, the emerging wave focuses on integrating intelligence within physical systems.
According to Bank of America, Physical AI encompasses machines such as humanoid robots, self-driving vehicles, and drones that can observe their surroundings, reason, and execute tasks independently. These smart systems utilize advanced multimodal world models, honed with visual and operational data, to make autonomous predictions and decisions.
We are already witnessing the deployment of robotaxis in numerous cities, and the adoption of advanced driver-assistance systems is poised to rise dramatically in the upcoming years.
As hardware expenses decline and onboard computing capabilities enhance, the removal of drivers will notably lower costs in transportation services, paving the way for a software-defined, AI-enhanced mobility landscape.
Humanoid Robots Take Center Stage
“Humanoid robots represent a significant advancement in this evolution,” noted Briggs.
Currently, over 50 companies are innovating humanoid platforms, with initial applications focusing on sectors like manufacturing and logistics. As labor shortages persist and component prices drop, shipment volumes for these robots are projected to increase exponentially in the coming decade.
The leaders in this domain are not merely assembling robots; they are also mastering actuators, sensors, energy efficiency, and the AI frameworks essential for successful integration and function.
Key Physical AI Stocks to Watch
Bank of America has identified several key public companies at the forefront of the Physical AI movement across various sectors, including chips, robotics, mobility, and sensory technology. Here’s a closer look at 15 publicly traded stocks poised to lead this revolution:
1. Nvidia Corp. (NASDAQ: NVDA)
Recognized as a pioneer in Physical AI infrastructure, Nvidia offers a comprehensive platform that caters to applications in robotics, mobility, and industrial functionality. The recent launches at CES 2026, such as GR00T and Cosmos, facilitate autonomous decision-making across various machine types.
2. Tesla Inc. (NASDAQ: TSLA)
Tesla is transforming its operations with robotaxis functioning in multiple cities and the aggressive expansion of its autonomous vehicle fleet, alongside licensing its Full Self-Driving software. Ride volumes reportedly increased significantly last year.
3. Qualcomm Inc. (NASDAQ: QCOM)
Qualcomm’s Dragonwing IQ10 chip technology is pivotal to edge-based physical AI, allowing drones, robots, and autonomous vehicles to execute low-power, localized decisions.
4. Advanced Micro Devices Inc. (NASDAQ: AMD)
AMD offers a versatile AI ecosystem and scalable hardware that serves as a viable alternative to Nvidia, focusing on both cloud training and edge inference capabilities.
5. Ambarella Inc. (NASDAQ: AMBA)
A former leader in power-efficient AI video processing, Ambarella's latest CES showcases highlighted AI-optimized SoCs that excel in real-time vision applications.
6. ARM Holdings plc (NASDAQ: ARM)
With its chips embedded in a wide range of devices, ARM plays a crucial role in ensuring that Physical AI operates efficiently on-device, simultaneously reducing power consumption.
7. Hitachi Ltd. (OTC: HTHIY)
Hitachi’s advanced AI capabilities integrate operational and sensory data, enhancing control, prediction, and efficiency across various sectors, from mobility to infrastructure.
8. Innoviz Technologies Ltd. (NASDAQ: INVZ)
A leader in LiDAR technology, Innoviz is contributing to the evolving landscape of autonomous vehicles and robotics by greatly reducing costs in recent years.
9. BYD Co. Ltd. (OTC: BYDDF)
A prominent player in China’s electric vehicle market, BYD is experiencing rapid growth in autonomous driving solutions.
10. Alphabet Inc. (NASDAQ: GOOGL)
Waymo has accelerated its robotaxi operations, making significant advancements in hardware, with costs decreasing considerably, showcasing robust commercial opportunities in urban areas.
11. Baidu Inc. (NASDAQ: BIDU)
Baidu’s Apollo project is positioned to play an essential role in the future of autonomous vehicles in Asia, supporting a roadmap that anticipates considerable growth.
12. AeroVironment Inc. (NASDAQ: AVAV)
AeroVironment specializes in unmanned aircraft systems that are increasingly utilized in defense and public safety applications, responding to growing demand in these sectors.
13. Kratos Defense & Security Solutions Inc. (NASDAQ: KTOS)
Focusing on autonomous defense technologies, Kratos offers essential high-performance systems designed to meet modern military needs.
14. Apple Inc. (NASDAQ: AAPL)
While still a unique player in this space, Apple’s advancements in on-device AI and spatial computing signal significant aspirations beyond traditional computing.
15. Li Auto Inc. (NASDAQ: LI)
Li Auto is rapidly advancing its autonomous driving features, firmly positioning itself as a contestant in the growing Chinese EV market.
Frequently Asked Questions
What is Physical AI?
Physical AI refers to advanced systems that integrate artificial intelligence within machines like robots and autonomous vehicles, enabling them to operate and interact in the real world.
Why is Physical AI important?
Physical AI represents a significant technological leap that can enhance efficiency and automation across multiple sectors, including transportation, manufacturing, and service industries.
Which companies are leading in Physical AI?
Leading companies include Nvidia, Tesla, Qualcomm, and many others that are innovating in areas such as robotics, mobility, and AI chips.
How will Physical AI impact jobs?
As Physical AI systems take over repetitive and hazardous tasks, the nature of jobs will evolve, creating opportunities for higher-skilled positions while phasing out certain manual roles.
When can we expect to see widespread Physical AI adoption?
While some aspects of Physical AI are already operational, broader adoption is anticipated in the next few years as technology continues to advance and costs decrease.
